Work

Streamlining UNO: A Generalized Sampling Approach to Optimal One-Bit Modulo Sensing

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10889588

Authors: Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian

Institution: University of Illinois Chicago

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4408345928

FWCI: 1.968

Cites: 23

Cited by: 2

Related to: 10